high performance computing on graphics processing units: hgpu.org

hgpu.org » Geoscience

GPU-accelerated MRF segmentation algorithm for SAR images

Haigang Sui, Feifei Peng, Chuan Xu, Kaimin Sun, Jianya Gong

View

Download (PDF)

Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 9800 GT

December 29, 2012 by hgpu

Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units

Michael Commer, Filipe R. N. C. Maia, Gregory A. Newman

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Electrostatics, Finite difference, Geoscience, nVidia, Tesla C2050

October 15, 2012 by hgpu

GPU-Accelerated Large-Scale Simulation of Seismic-Wave Propagation

Taro Okamoto, Hiroshi Takenaka, Takeshi Nakamura, Takayuki Aoki

View

Download (PDF)

Tags: Earth and Space Sciences, FDTD, Finite-difference time-domain, Geoscience, nVidia, Tesla M2050

August 17, 2012 by hgpu

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Cheng-Zhi Qin, Lijun Zhan

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Geoscience, Graph theory, nVidia, nVidia GeForce GT 330

August 2, 2012 by hgpu

Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs

A. Barberis, G. Danese, F. Leporati, A. Plaza, E. Torti

View

Download (PDF)

Tags: Algorithms, CUBLAS, CUDA, Data acquisition, Earth and Space Sciences, Geoscience, Linear Algebra, nVidia, nVidia GeForce GTX 460

July 13, 2012 by hgpu

An MPI-CUDA Implementation and Optimization for Parallel Sparse Equations and Least Squares (LSQR)

He Huang, Liqiang Wang, En-Jui Lee, Po Chen

View

Download (PDF)

Tags: Computer science, CUBLAS, CUDA, Earth and Space Sciences, Geoscience, MPI, nVidia, Optimization, Tesla C2050, Tesla M2070

May 19, 2012 by hgpu

Spatial interpolation of scattered geoscientific data

Florian Hanzer

View

Download (PDF)

Tags: Algorithms, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce GTX 580, OpenCL, Visualization

February 14, 2012 by hgpu

Visual Data Mining Using the Point Distribution Tensor

Marcel Ritter, Werner Benger, Biagio Cosenza, Keera Pullman, Hans Moritsch, Wolfgang Leimer

View

Download (PDF)

Tags: Algorithms, Data mining, Geoscience, Image processing, nVidia, nVidia Quadro FX 3800 M, OpenCL, Visualization

January 26, 2012 by hgpu

CPU/GPU computing for long-wave radiation physics on large GPU clusters

Fengshun Lu, Junqiang Song, Xiaoqun Cao, Xiaoqian Zhu

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, Heterogeneous systems, MPI, nVidia, OpenMP, Tesla M2050

January 17, 2012 by hgpu

Speeding Up Geospatial Polygon Rasterization on GPGPUs

Jianting Zhang

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, Rasterization, Sorting, Tesla C2050

December 31, 2011 by hgpu

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Jianting Zhang, Simin You, Le Gruenwald

View

Download (PDF)

Tags: CUDA, Data parallelism, Earth and Space Sciences, Geoscience, nVidia, Optimization, Sensing, Tesla C2050

December 29, 2011 by hgpu

Scalable multi-GPU implementation of the MAGFLOW simulator

Eugenio Rustico, Giuseppe Bilotta, Alexis Herault, Ciro Del Negro, Giovanni Gallo

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 480

December 24, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

GPU-accelerated MRF segmentation algorithm for SAR images

Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units

GPU-Accelerated Large-Scale Simulation of Seismic-Wave Propagation

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Real-Time Implementation of the Vertex Component Analysis Algorithm on GPUs

An MPI-CUDA Implementation and Optimization for Parallel Sparse Equations and Least Squares (LSQR)

Spatial interpolation of scattered geoscientific data

Visual Data Mining Using the Point Distribution Tensor

CPU/GPU computing for long-wave radiation physics on large GPU clusters

Speeding Up Geospatial Polygon Rasterization on GPGPUs

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Scalable multi-GPU implementation of the MAGFLOW simulator

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)